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» A New Bayesian Method for Range Image Segmentation
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ISCAS
1994
IEEE
124views Hardware» more  ISCAS 1994»
14 years 1 months ago
Efficient Gabor Filter Design Using Rician Output Statistics
Gabor filters have been applied sucessfully to a broad range of multidimensional signal processing and image processing tasks. The present paper considers the design of a single f...
Thomas P. Weldon, William E. Higgins, Dennis F. Du...
ECCV
2008
Springer
14 years 11 months ago
Shape Matching by Segmentation Averaging
We use segmentations to match images by shape. To address the unreliability of segmentations, we give a closed form approximation to an average over all segmentations. Our techniqu...
Hongzhi Wang, John Oliensis
ICPR
2008
IEEE
14 years 3 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...
IAJIT
2006
109views more  IAJIT 2006»
13 years 9 months ago
Image Segmentation Based on Watershed and Edge Detection Techniques
: A combination of K-means, watershed segmentation method, and Difference In Strength (DIS) map was used to perform image segmentation and edge detection tasks. We obtained an init...
Nassir Salman
GW
2005
Springer
136views Biometrics» more  GW 2005»
14 years 2 months ago
Gesture Recognition Using Image Comparison Methods
Abstract. We introduce the use of appearance-based features, and tangent distance or the image distortion model to account for image variability within the hidden Markov model emis...
Philippe Dreuw, Daniel Keysers, Thomas Deselaers, ...